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Cucchiara, R., Grana, C., Piccardi, M. and Prati, A. (2003) Detecting Moving Objects, Ghosts, and Shadows in Video Streams. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 1337-1342.
http://dx.doi.org/10.1109/TPAMI.2003.1233909

has been cited by the following article:

  • TITLE: Hardware Design of Moving Object Detection on Reconfigurable System

    AUTHORS: Hung-Yu Chen, Yuan-Kai Wang

    KEYWORDS: Background Substraction, Moving Object Detection, Field Programmable Gate Array (FPGA), Hardware Acceleration

    JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.10, August 10, 2016

    ABSTRACT: Moving object detection including background subtraction and morphological processing is a critical research topic for video surveillance because of its high computational loading and power consumption. This paper proposes a hardware design to accelerate the computation of background subtraction with low power consumption. A real-time background subtraction method is designed with a frame-buffer scheme and function partition to improve throughput, and implemented using Verilog HDL on FPGA. The design parallelizes the computations of background update and subtraction with a seven-stage pipeline. A stripe-based morphological processing and accounting for the completion of detected objects is devised. Simulation results for videos of VGA resolutions on a low-end FPGA device show 368 fps throughput for only the real-time background subtraction module, and 51 fps for the whole system, including off-chip memory access. Real-time efficiency with low power consumption and low resource utilization is thus demonstrated.